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Proceedings Paper

Comparison Of Techniques For Sensor Fusion Under Uncertain Conditions
Author(s): Partha S. Chatterjee; Terrance L. Huntsberger
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Paper Abstract

There are a number of methods for the combination of multiple sensor outputs for the interpretation of a scene. Among these are Bayesian, Dempster-Shafer, fuzzy and modified Dempster-Shafer methods. This paper presents a comparison of various techniques for the combination of the information from multiple sensors under uncertain conditions. Oftentimes, sensor independence is an underlying assumption for the sensor fusion process. The experimen-tal studies presented in this paper indicate that interpretation of sensor fusion results as far as the use of thresholds is further complicated due to this assumption. The different systems that are compared have results that numerically differ by as much as 20%, which indicates the need for further studies along these lines.

Paper Details

Date Published: 5 January 1989
PDF: 8 pages
Proc. SPIE 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation, (5 January 1989); doi: 10.1117/12.948931
Show Author Affiliations
Partha S. Chatterjee, University of South Carolina (United States)
Terrance L. Huntsberger, University of South Carolina (United States)

Published in SPIE Proceedings Vol. 1003:
Sensor Fusion: Spatial Reasoning and Scene Interpretation
Paul S. Schenker, Editor(s)

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